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【正文】 ions of Computer Vision[C], Prague, 2004: 103111.[23] , ’Orazio , . Moving object segmentation by background subtraction and temporal analysis[J].Image and Vision Computing,2006,24(5):411423[24] Stauffer C,Grimson WEL. Adaptive Background Mixture Models for RealTime Tracking. In Proc. Computer Vision and Pattern Recognition 1999(CVPR ‘99), June 1999.[25] Elgammal A, Harwood D, Davis L, Nonparametric Model for background Subtraction. In Proc. Of ICCV ’99 FRAMERATE Workshop, 1999.[26] Han B,Comaniciu D, Davis L, Sequntial kernel density approximation through mode progagation:applications to background modeling. In Proc. ACCVAsian Conf. On Computer Vision,2004.[27] Kim K, Chalidabhongse TH, Harwood D, Davis L. Realtime forgroundbackground segment using codebook model. RealTime Imaging,2005.[28] Robert T Collins, Alan J Lipton, Takeo Kanade, et al. A system for video Surveillance and Monitoring[R]. Pittsburgh: Carnegie Mellon University, 2000: 168.[29] , ’Orazio , . Moving object segmentation by background subtraction and temporal analysis[J].Image and Vision Computing,2006,24(5):411423[30] 李毅, 孫正興, [J].中國圖象圖形學報,2009,14(5):11621168.[31] 楊濤，李靜潘泉，一種基于多層背景模型的前景檢測算法[J].中國圖象圖形學報，2008,13（7）：13011308[32] 黃鑫娟, 周潔敏, [J].計算機應用,2010,30(1):7174[33] Ko, T， Soatto, S，Estrin, D. Warping background subtraction [C]. IEEE Conference on Computer Vision and Pattern Recognition, 2010, 1: 1331–.[34] Shan Y, Sawhney H S, Kumar R. Unsup[35] [D].:2009.[36] Shan Y, Sawhney H S, Kumar R. Vehicle Identification between NonOverlapping Camera without Direct Feature Matching. In ICCV. 2005,378385.[37] Guo Y, Hsu S,Shan Y,et Fingerprinting for Reacquisition amp。 Tracking in Videos. In CVPR. 2005, 761768.[38] Guo Y,Sawhney H S,Kumar R,et Object Matching for Persistent Tracking with Heterogeneous Feature. In Joint IEEE Int. Workshop ,8188.[39] Guo Y,Hsu S,Sawhney H S,et al. Robust Object Matching for Persisitent Tracking with Heterogeneous Feature. IEEE Trans. Pattern Anal. Machine Intell.,2007(29):824839.[40] Cheng E D, Madden C, Piccardi M. Mitigating the Effects of Variable Illumiantion for Tracking across Disjoint Camera Views. In IEEE Int. Conf. AVSS. 2006, 3237.[41] Cheng E D, Piccardi M. Matching of Object Moving across Disjoint Cameras. In , 17691772.[42] Cheng E D. Piccardi M. Disjoint track matching based on a major color spectrum histogram representation. Optical Engineering, 2007(46):14.’[43] Madden C, Piccardi M. Height Measurement as a Sessionbased Biometric for People Matching Across Disjoint Camera Views. In IEEE Vis. Comput 20058 / 8

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